Identification of Areas With Natural Constraints Case Study Serbia
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1 Identification of Areas With Natural Constraints Case Study Serbia Dragana Vidojević of the Environmental Protection Agency, Ruže Jovanovića St. 27a, Belgrade, Jovica Vasin Institute of Field and Vegetable Crops, 30 Maksima Gorkog St Novi Sad, Nenad Marković PC Srbijašume, 113, Mihajlo Pupin Boulevard, New Belgrade,
2 The statistic data General data in 2012 Municipality Aleksinac Number of holdings Utilized agricultural area (ha) Average UAA per holding (ha) 3,35 Utilized agricultural area by categories (%) in ,09% 0,97% 3,25% 10,84% 83,85% Arable land Fruit plantations Other Meadows and pastures Vineyards 1st Interim Meeting of the REAWG on ANC, Andrevlje
3 CORINE Land Cover 2012 Corine Land Cover Non-irrigated arable land 221 Vineyards 222 Fruit trees and berry plantations 231 Pastures 242 Complex cultivation patterns 243 Land principally occupied by agriculture with significant areas of natural vegetation 321 Natural grasslands Categories/CLC classes 2012 ha AGRICULTURAL AREAS 211 Non-irrigated arable land 20, Vineyards Fruit trees and berry plantations Pastures Complex cultivation patterns 6, Land principally occupied by agriculture with significant areas of natural vegetation 10,096.6 Sub-total 37,977.9 FORESTS AND SEMINATURAL AREAS 321 Natural grasslands Grand Total 38, st Interim Meeting of the REAWG on ANC, Andrevlje
4 Selecting the Layer of Territorial and Admistrative Division of Serbia
5 Political Municipality of Aleksinac
6 Climate Data Meteorogical Stations
7 Climate Data Selected SWAT Grid
8 Climate Data Database
9 Calculation of PET Eto Calculator
10 Climate Data Database With Calculated PET
11 Dryness Ratio of the Annual Precipitation (P) to the Annual Potentil Evapotranspiration (PET) P/PET <= 0.5
12 Dryness - Calculated Sum of P and Sum of PET per Station (Grid Point) per Year ( )
13 Dryness Selected SWAT Grid Layer Joined With Database Tables
14 Dryness Ordinary Kriging for Sum of P (Year 2003)
15 Dryness Ordinary Kriging for Sum of PET (Year 2003)
16 Dryness Division of Rasters P/PET and Reclassified Raster (Year 2003)
17 Dryness Reclassified Raster Year 1981
18 Dryness Reclassified Raster Year 1982
19 Dryness Reclassified Raster Year 1983
20 Dryness Reclassified Raster Year 1984
21 Dryness Reclassified Raster Year 1985
22 Dryness Reclassified Raster Year 1986
23 Dryness Reclassified Raster Year 1987
24 Dryness Reclassified Raster Year 1988
25 Dryness Reclassified Raster Year 1989
26 Dryness Reclassified Raster Year 1990
27 Dryness Reclassified Raster Year 1991
28 Dryness Reclassified Raster Year 1992
29 Dryness Reclassified Raster Year 1993
30 Dryness Reclassified Raster Year 1994
31 Dryness Reclassified Raster Year 1995
32 Dryness Reclassified Raster Year 1996
33 Dryness Reclassified Raster Year 1997
34 Dryness Reclassified Raster Year 1998
35 Dryness Reclassified Raster Year 1999
36 Dryness Reclassified Raster Year 2000
37 Dryness Reclassified Raster Year 2001
38 Dryness Reclassified Raster Year 2002
39 Dryness Reclassified Raster Year 2003
40 Dryness Reclassified Raster Year 2004
41 Dryness Reclassified Raster Year 2005
42 Dryness Reclassified Raster Year 2006
43 Dryness Reclassified Raster Year 2007
44 Dryness Reclassified Raster Year 2008
45 Dryness Reclassified Raster Year 2009
46 Dryness Reclassified Raster Year 2010
47 Dryness Resulting Raster
48 Low Temperature Lenght of growing period (number of days) <= 180 days Defined by number of days with daily average temperature > 5 o C
49 Low Temperature Export of 365 Shape Files per Year (FC_y_xxxx_m_xx_d_xx)
50 Low Temperature Impotred Feature Classes (year GDB_1992_LowTemperature.mdb )
51 Low Temperature Form that Creates the Tables With Average Daily Temps as a Result of a Query
52 Low Temperature Tables With Average Daily Temps as a Result of a Query
53 Low Temperature Update of FC Tables of Attributes
54 Low Temperature Kriging Programmatically
55 Low Temperature Raster Layers of Ordinary Kriging
56 Low Temperature Reclassification
57 Low Temperature String for Raster Calculator
58 Low Temperature Results (1)
59 Low Temperature Results (2)
60 Steep Slope Change of elvation with respect to planimetric distance (%) Slope >= 15%
61 DEM(s) 1 Arc SECOND 1st Interim Meeting of the REAWG on ANC, Andrevlje
62 Steep Slope
63 Soil
64 .
65 Soil Soil Map of Serbia part municipality of Aleksinac
66 Soil 926 cartographic units in Soil Map of Serbia 64 cartographic units in Soil Map of Serbia part municipality of Aleksinac
67 Soil
68 Cartographic units - for example: - all smeđa kisela zemljišta (brown acid soils) Soil - Acidity
69 Cartographic units - for example: - Bare i močvare - Jezera i bare - Mineralno barsko zemljište - Mineralno močvarno glinovito glejno zem. - Mineralno močvarno ilovasto glejno zemljište - Močvarno glejno zaslanjeno zemljište - Močvarno glejno zemljište - Organogeno mineralno-barsko zemljište - Pseudoglej obronačni - Aluvijalno zabareno zemljište - Aluvijalno-deluv. zem. Zabareno - Aluvijum zabareni... Soil - Drainage
70 Cartographic units - for example: - treset (peat) Soil Organic Matter
71 Cartographic units - for example: - solonchak - c.u. with words solončakast (solonchaklike) or zaslanjen (saline) Soil - Salinity
72 Cartographic units - for example: - solonetz - c.u. with words alkalizovan (alkaline) Soil - Sodicity
73 Cartographic units - for example: - lithosol - c.u. with words plitko (shallow) Soil Soil Depth
74 Soil ST Clay In JRC TECHNICAL REPORTS Updated Guidelines for Applying Common Criteria to Identify Agricultural Areas with Natural Constraints (2016) Threshold - the topsoil texture class is heavy clay ( 60% clay); or - the topsoil contains 30% or more clay and there is a soil layer with vertic properties within 100 cm of the soil surface. In Classification of Yugoslav soils vertic properties are diagnostic criteria for smonitza soil type (vertisol).
75 Soil ST Clay
76 Soil ST Coarse Material
77 Cartographic units - for example: - arenosol - c.u. with words peskovito (sandy) Soil ST Sandy Loam
78 Soil - All
79 Additional Field Investigation August 2016.
80 35.20%(clay); 23.68% (clay); 24.56% (clay); 34.36% (clay); 20.12% (clay); 33.56% clay Noncalcareous clayey alluvial deposit 27.24% clay Noncalcareous and clayey marsh black soil 47% (clay); 37.36% (clay);.
81 43.72% (clay);.
82 Soil Acidity: ph 5 (in water) Data of fertility control samples ( ) 0,37 % samples has a ph 5 (in water)..
83 .
84 ANC - Intersection
85 Thank you!
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